About me
I am currently an assistant professor at Cornell in the Department of Statistics and Data Science. I enjoy thinking about problems where the goal is to discover interpretable structure which underlies the data generating process. This includes problems in the areas of causal discovery and graphical models. My work has been published in venues such as Annals of Statistics, Journal of the American Statistical Association, Biometrika, Journal of Machine Learning Research, NeurIPS, and ICML.
Prior to Cornell, I was a principal researcher (post-doc) at the University of Chicago’s Booth School of Business, and I completed my PhD in Statistics at the University of Washington. I received my undergraduate degree in applied math at Rice University, and I worked as a management consultant for two years before my PhD studies.